s603122001's Stars
microsoft/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
OpenBB-finance/OpenBBTerminal
Investment Research for Everyone, Everywhere.
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
openai/jukebox
Code for the paper "Jukebox: A Generative Model for Music"
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
cvxpy/cvxpy
A Python-embedded modeling language for convex optimization problems.
man-group/dtale
Visualizer for pandas data structures
lucidrains/vector-quantize-pytorch
Vector (and Scalar) Quantization, in Pytorch
Music-and-Culture-Technology-Lab/omnizart
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.
csteinmetz1/auraloss
Collection of audio-focused loss functions in PyTorch
Natooz/MidiTok
MIDI / symbolic music tokenizers for Deep Learning models 🎶
salu133445/muspy
A toolkit for symbolic music generation
lucidrains/BS-RoFormer
Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
minzwon/sota-music-tagging-models
lucidrains/conformer
Implementation of the convolutional module from the Conformer paper, for use in Transformers
tjddus9597/Proxy-Anchor-CVPR2020
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
Feynman687/Interviews
lmnt-com/wavegrad
A fast, high-quality neural vocoder.
MaureenZOU/Adaptive-anti-Aliasing
[BMVC2020 Best Paper Award] Official Implementation for Delving deeper into anti-aliasing in convnets
adobe-research/DeepAFx
Third-party audio effects plugins as differentiable layers within deep neural networks.
p-lambda/jukemir
Perform transfer learning for MIR using Jukebox!
GuitarML/mldsp-papers
Collection of papers related to neural nets/machine learning for audio DSP.
facebookresearch/Listen-to-Look
Listen to Look: Action Recognition by Previewing Audio (CVPR 2020)
YatingMusic/ReaRender
A python toolkit for automatic audio/MIDI rendering using REAPER
Jeff-Zilence/Explain_Metric_Learning
Code for paper: "Visual Explanation for Deep Metric Learning"